{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "OpenHand-Models.ipynb",
      "provenance": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.9"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ArthurFDLR/pose-classification-kit/blob/master/examples/datasets_exploration.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uMvrR9_jnDwO"
      },
      "source": [
        "# Pose Classification Kit: datasets exploration"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ONjOBMTanXiN"
      },
      "source": [
        "This Notebook can be used to explore in depth the dataset of [Pose Classification Kit](https://github.com/ArthurFDLR/pose-classification-kit). The default body model for the representation of the keypoints is BODY25.\n",
        "\n",
        "Note that datasets can also be imported using the package API:\n",
        "```python\n",
        "from pose_classification_kit.datasets import bodyDataset, handDataset\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Xvt8oHFae-I"
      },
      "source": [
        "from IPython.display import display, HTML, Markdown\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib.lines import Line2D\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "pd.set_option('display.max_columns', None)\n",
        "pd.set_option('display.min_rows', 5)"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PuVh6gXbae-N"
      },
      "source": [
        "## 🕺 Body dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "0muIEgL3ae-N",
        "outputId": "50f632a6-4cfc-4882-f13f-2b1056554f37"
      },
      "source": [
        "dataset_df_body = pd.read_csv(\"https://raw.githubusercontent.com/ArthurFDLR/pose-classification-kit/master/pose_classification_kit/datasets/BodyPose_Dataset.csv\")\n",
        "labels_body = dataset_df_body.label.unique()\n",
        "\n",
        "display(Markdown(\"### Complete dataset view\"))\n",
        "display(dataset_df_body)\n",
        "\n",
        "df_body_labels = dataset_df_body.groupby('label')\n",
        "\n",
        "display(Markdown(\"### Number of samples per label\"))\n",
        "display(\n",
        "    pd.DataFrame(\n",
        "        [df_body_labels.size()],\n",
        "        columns=labels_body,\n",
        "        index=[\"Nbr of entries\"],\n",
        "        )\n",
        ")"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/markdown": "### Complete dataset view",
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>label</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>x0</th>\n",
              "      <th>y0</th>\n",
              "      <th>x1</th>\n",
              "      <th>y1</th>\n",
              "      <th>x2</th>\n",
              "      <th>y2</th>\n",
              "      <th>x3</th>\n",
              "      <th>y3</th>\n",
              "      <th>x4</th>\n",
              "      <th>y4</th>\n",
              "      <th>x5</th>\n",
              "      <th>y5</th>\n",
              "      <th>x6</th>\n",
              "      <th>y6</th>\n",
              "      <th>x7</th>\n",
              "      <th>y7</th>\n",
              "      <th>x8</th>\n",
              "      <th>y8</th>\n",
              "      <th>x9</th>\n",
              "      <th>y9</th>\n",
              "      <th>x10</th>\n",
              "      <th>y10</th>\n",
              "      <th>x11</th>\n",
              "      <th>y11</th>\n",
              "      <th>x12</th>\n",
              "      <th>y12</th>\n",
              "      <th>x13</th>\n",
              "      <th>y13</th>\n",
              "      <th>x14</th>\n",
              "      <th>y14</th>\n",
              "      <th>x15</th>\n",
              "      <th>y15</th>\n",
              "      <th>x16</th>\n",
              "      <th>y16</th>\n",
              "      <th>x17</th>\n",
              "      <th>y17</th>\n",
              "      <th>x18</th>\n",
              "      <th>y18</th>\n",
              "      <th>x19</th>\n",
              "      <th>y19</th>\n",
              "      <th>x20</th>\n",
              "      <th>y20</th>\n",
              "      <th>x21</th>\n",
              "      <th>y21</th>\n",
              "      <th>x22</th>\n",
              "      <th>y22</th>\n",
              "      <th>x23</th>\n",
              "      <th>y23</th>\n",
              "      <th>x24</th>\n",
              "      <th>y24</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Seated</td>\n",
              "      <td>19.508690</td>\n",
              "      <td>-0.060776</td>\n",
              "      <td>0.497554</td>\n",
              "      <td>-0.085367</td>\n",
              "      <td>0.360305</td>\n",
              "      <td>-0.206404</td>\n",
              "      <td>0.359822</td>\n",
              "      <td>-0.254659</td>\n",
              "      <td>0.157586</td>\n",
              "      <td>-0.068586</td>\n",
              "      <td>0.093048</td>\n",
              "      <td>0.003926</td>\n",
              "      <td>0.367953</td>\n",
              "      <td>0.052554</td>\n",
              "      <td>0.198201</td>\n",
              "      <td>0.052288</td>\n",
              "      <td>0.101291</td>\n",
              "      <td>-0.069057</td>\n",
              "      <td>0.084698</td>\n",
              "      <td>-0.141862</td>\n",
              "      <td>0.068745</td>\n",
              "      <td>-0.003900</td>\n",
              "      <td>-0.117274</td>\n",
              "      <td>0.125038</td>\n",
              "      <td>-0.424617</td>\n",
              "      <td>0.003923</td>\n",
              "      <td>0.092650</td>\n",
              "      <td>0.190280</td>\n",
              "      <td>-0.093207</td>\n",
              "      <td>0.157517</td>\n",
              "      <td>-0.424847</td>\n",
              "      <td>-0.076973</td>\n",
              "      <td>0.537926</td>\n",
              "      <td>-0.020513</td>\n",
              "      <td>0.537848</td>\n",
              "      <td>-0.133506</td>\n",
              "      <td>0.529790</td>\n",
              "      <td>-0.004316</td>\n",
              "      <td>0.521619</td>\n",
              "      <td>0.246689</td>\n",
              "      <td>-0.537926</td>\n",
              "      <td>0.254659</td>\n",
              "      <td>-0.505494</td>\n",
              "      <td>0.125220</td>\n",
              "      <td>-0.481106</td>\n",
              "      <td>0.238224</td>\n",
              "      <td>-0.529721</td>\n",
              "      <td>0.181949</td>\n",
              "      <td>-0.529865</td>\n",
              "      <td>0.117234</td>\n",
              "      <td>-0.472980</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Seated</td>\n",
              "      <td>19.548573</td>\n",
              "      <td>-0.064262</td>\n",
              "      <td>0.501585</td>\n",
              "      <td>-0.088978</td>\n",
              "      <td>0.364251</td>\n",
              "      <td>-0.210033</td>\n",
              "      <td>0.363897</td>\n",
              "      <td>-0.250737</td>\n",
              "      <td>0.161617</td>\n",
              "      <td>-0.072216</td>\n",
              "      <td>0.097050</td>\n",
              "      <td>0.000255</td>\n",
              "      <td>0.364359</td>\n",
              "      <td>0.048789</td>\n",
              "      <td>0.202146</td>\n",
              "      <td>0.048557</td>\n",
              "      <td>0.105223</td>\n",
              "      <td>-0.072845</td>\n",
              "      <td>0.088723</td>\n",
              "      <td>-0.145644</td>\n",
              "      <td>0.072785</td>\n",
              "      <td>-0.007609</td>\n",
              "      <td>-0.113116</td>\n",
              "      <td>0.113625</td>\n",
              "      <td>-0.420526</td>\n",
              "      <td>0.000118</td>\n",
              "      <td>0.096654</td>\n",
              "      <td>0.186695</td>\n",
              "      <td>-0.089216</td>\n",
              "      <td>0.153778</td>\n",
              "      <td>-0.428637</td>\n",
              "      <td>-0.080508</td>\n",
              "      <td>0.541949</td>\n",
              "      <td>-0.023966</td>\n",
              "      <td>0.541849</td>\n",
              "      <td>-0.136952</td>\n",
              "      <td>0.533824</td>\n",
              "      <td>-0.007863</td>\n",
              "      <td>0.517799</td>\n",
              "      <td>0.242809</td>\n",
              "      <td>-0.541949</td>\n",
              "      <td>0.250737</td>\n",
              "      <td>-0.517829</td>\n",
              "      <td>0.121459</td>\n",
              "      <td>-0.477317</td>\n",
              "      <td>0.218503</td>\n",
              "      <td>-0.525648</td>\n",
              "      <td>0.170166</td>\n",
              "      <td>-0.525665</td>\n",
              "      <td>0.113249</td>\n",
              "      <td>-0.468936</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>10679</th>\n",
              "      <td>Traffic_RightTurn</td>\n",
              "      <td>21.680399</td>\n",
              "      <td>-0.021659</td>\n",
              "      <td>0.501895</td>\n",
              "      <td>-0.015683</td>\n",
              "      <td>0.355273</td>\n",
              "      <td>-0.119264</td>\n",
              "      <td>0.361134</td>\n",
              "      <td>-0.266577</td>\n",
              "      <td>0.355392</td>\n",
              "      <td>-0.303121</td>\n",
              "      <td>0.483898</td>\n",
              "      <td>0.076649</td>\n",
              "      <td>0.354854</td>\n",
              "      <td>0.180719</td>\n",
              "      <td>0.226502</td>\n",
              "      <td>0.303121</td>\n",
              "      <td>0.122409</td>\n",
              "      <td>-0.015105</td>\n",
              "      <td>0.024694</td>\n",
              "      <td>-0.070423</td>\n",
              "      <td>0.024707</td>\n",
              "      <td>-0.058290</td>\n",
              "      <td>-0.202152</td>\n",
              "      <td>-0.064057</td>\n",
              "      <td>-0.434731</td>\n",
              "      <td>0.058023</td>\n",
              "      <td>0.024591</td>\n",
              "      <td>0.039612</td>\n",
              "      <td>-0.202141</td>\n",
              "      <td>0.039709</td>\n",
              "      <td>-0.428982</td>\n",
              "      <td>-0.052122</td>\n",
              "      <td>0.508097</td>\n",
              "      <td>-0.015073</td>\n",
              "      <td>0.508319</td>\n",
              "      <td>-0.070571</td>\n",
              "      <td>0.471654</td>\n",
              "      <td>0.027508</td>\n",
              "      <td>0.483822</td>\n",
              "      <td>0.076463</td>\n",
              "      <td>-0.502156</td>\n",
              "      <td>0.100901</td>\n",
              "      <td>-0.483695</td>\n",
              "      <td>0.027589</td>\n",
              "      <td>-0.459371</td>\n",
              "      <td>-0.058080</td>\n",
              "      <td>-0.508319</td>\n",
              "      <td>-0.076766</td>\n",
              "      <td>-0.495978</td>\n",
              "      <td>-0.052033</td>\n",
              "      <td>-0.465198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10680</th>\n",
              "      <td>Traffic_RightTurn</td>\n",
              "      <td>21.511433</td>\n",
              "      <td>-0.024451</td>\n",
              "      <td>0.499075</td>\n",
              "      <td>-0.023881</td>\n",
              "      <td>0.353047</td>\n",
              "      <td>-0.121352</td>\n",
              "      <td>0.358971</td>\n",
              "      <td>-0.273786</td>\n",
              "      <td>0.352725</td>\n",
              "      <td>-0.310223</td>\n",
              "      <td>0.492587</td>\n",
              "      <td>0.073386</td>\n",
              "      <td>0.352577</td>\n",
              "      <td>0.182848</td>\n",
              "      <td>0.219032</td>\n",
              "      <td>0.310224</td>\n",
              "      <td>0.109508</td>\n",
              "      <td>-0.017902</td>\n",
              "      <td>0.030272</td>\n",
              "      <td>-0.073136</td>\n",
              "      <td>0.030321</td>\n",
              "      <td>-0.060756</td>\n",
              "      <td>-0.189073</td>\n",
              "      <td>-0.054509</td>\n",
              "      <td>-0.432380</td>\n",
              "      <td>0.060988</td>\n",
              "      <td>0.024236</td>\n",
              "      <td>0.030632</td>\n",
              "      <td>-0.213052</td>\n",
              "      <td>0.030603</td>\n",
              "      <td>-0.432394</td>\n",
              "      <td>-0.048443</td>\n",
              "      <td>0.511201</td>\n",
              "      <td>0.000077</td>\n",
              "      <td>0.517217</td>\n",
              "      <td>-0.073053</td>\n",
              "      <td>0.486682</td>\n",
              "      <td>0.024655</td>\n",
              "      <td>0.492595</td>\n",
              "      <td>0.060882</td>\n",
              "      <td>-0.511212</td>\n",
              "      <td>0.079464</td>\n",
              "      <td>-0.487036</td>\n",
              "      <td>0.024246</td>\n",
              "      <td>-0.462584</td>\n",
              "      <td>-0.048566</td>\n",
              "      <td>-0.517217</td>\n",
              "      <td>-0.079074</td>\n",
              "      <td>-0.499119</td>\n",
              "      <td>-0.036438</td>\n",
              "      <td>-0.468462</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10681 rows × 52 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                   label   accuracy        x0        y0        x1        y1  \\\n",
              "0                 Seated  19.508690 -0.060776  0.497554 -0.085367  0.360305   \n",
              "1                 Seated  19.548573 -0.064262  0.501585 -0.088978  0.364251   \n",
              "...                  ...        ...       ...       ...       ...       ...   \n",
              "10679  Traffic_RightTurn  21.680399 -0.021659  0.501895 -0.015683  0.355273   \n",
              "10680  Traffic_RightTurn  21.511433 -0.024451  0.499075 -0.023881  0.353047   \n",
              "\n",
              "             x2        y2        x3        y3        x4        y4        x5  \\\n",
              "0     -0.206404  0.359822 -0.254659  0.157586 -0.068586  0.093048  0.003926   \n",
              "1     -0.210033  0.363897 -0.250737  0.161617 -0.072216  0.097050  0.000255   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "10679 -0.119264  0.361134 -0.266577  0.355392 -0.303121  0.483898  0.076649   \n",
              "10680 -0.121352  0.358971 -0.273786  0.352725 -0.310223  0.492587  0.073386   \n",
              "\n",
              "             y5        x6        y6        x7        y7        x8        y8  \\\n",
              "0      0.367953  0.052554  0.198201  0.052288  0.101291 -0.069057  0.084698   \n",
              "1      0.364359  0.048789  0.202146  0.048557  0.105223 -0.072845  0.088723   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "10679  0.354854  0.180719  0.226502  0.303121  0.122409 -0.015105  0.024694   \n",
              "10680  0.352577  0.182848  0.219032  0.310224  0.109508 -0.017902  0.030272   \n",
              "\n",
              "             x9        y9       x10       y10       x11       y11       x12  \\\n",
              "0     -0.141862  0.068745 -0.003900 -0.117274  0.125038 -0.424617  0.003923   \n",
              "1     -0.145644  0.072785 -0.007609 -0.113116  0.113625 -0.420526  0.000118   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "10679 -0.070423  0.024707 -0.058290 -0.202152 -0.064057 -0.434731  0.058023   \n",
              "10680 -0.073136  0.030321 -0.060756 -0.189073 -0.054509 -0.432380  0.060988   \n",
              "\n",
              "            y12       x13       y13       x14       y14       x15       y15  \\\n",
              "0      0.092650  0.190280 -0.093207  0.157517 -0.424847 -0.076973  0.537926   \n",
              "1      0.096654  0.186695 -0.089216  0.153778 -0.428637 -0.080508  0.541949   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "10679  0.024591  0.039612 -0.202141  0.039709 -0.428982 -0.052122  0.508097   \n",
              "10680  0.024236  0.030632 -0.213052  0.030603 -0.432394 -0.048443  0.511201   \n",
              "\n",
              "            x16       y16       x17       y17       x18       y18       x19  \\\n",
              "0     -0.020513  0.537848 -0.133506  0.529790 -0.004316  0.521619  0.246689   \n",
              "1     -0.023966  0.541849 -0.136952  0.533824 -0.007863  0.517799  0.242809   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "10679 -0.015073  0.508319 -0.070571  0.471654  0.027508  0.483822  0.076463   \n",
              "10680  0.000077  0.517217 -0.073053  0.486682  0.024655  0.492595  0.060882   \n",
              "\n",
              "            y19       x20       y20       x21       y21       x22       y22  \\\n",
              "0     -0.537926  0.254659 -0.505494  0.125220 -0.481106  0.238224 -0.529721   \n",
              "1     -0.541949  0.250737 -0.517829  0.121459 -0.477317  0.218503 -0.525648   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "10679 -0.502156  0.100901 -0.483695  0.027589 -0.459371 -0.058080 -0.508319   \n",
              "10680 -0.511212  0.079464 -0.487036  0.024246 -0.462584 -0.048566 -0.517217   \n",
              "\n",
              "            x23       y23       x24       y24  \n",
              "0      0.181949 -0.529865  0.117234 -0.472980  \n",
              "1      0.170166 -0.525665  0.113249 -0.468936  \n",
              "...         ...       ...       ...       ...  \n",
              "10679 -0.076766 -0.495978 -0.052033 -0.465198  \n",
              "10680 -0.079074 -0.499119 -0.036438 -0.468462  \n",
              "\n",
              "[10681 rows x 52 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/markdown": "### Number of samples per label",
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Seated</th>\n",
              "      <th>Stand</th>\n",
              "      <th>Stand_RightArmRaised</th>\n",
              "      <th>Stand_LeftArmRaised</th>\n",
              "      <th>T</th>\n",
              "      <th>MilitarySalute</th>\n",
              "      <th>PushUp_Low</th>\n",
              "      <th>Squat</th>\n",
              "      <th>Plank</th>\n",
              "      <th>Yoga_Tree_left</th>\n",
              "      <th>Yoga_Tree_right</th>\n",
              "      <th>Yoga_UpwardSalute</th>\n",
              "      <th>Yoga_Warrior2_left</th>\n",
              "      <th>Yoga_Warrior2_right</th>\n",
              "      <th>Traffic_AllStop</th>\n",
              "      <th>Traffic_BackStop</th>\n",
              "      <th>Traffic_FrontStop</th>\n",
              "      <th>Traffic_BackFrontStop</th>\n",
              "      <th>Traffic_LeftTurn</th>\n",
              "      <th>Traffic_RightTurn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Nbr of entries</th>\n",
              "      <td>606</td>\n",
              "      <td>521</td>\n",
              "      <td>503</td>\n",
              "      <td>534</td>\n",
              "      <td>503</td>\n",
              "      <td>524</td>\n",
              "      <td>508</td>\n",
              "      <td>552</td>\n",
              "      <td>535</td>\n",
              "      <td>580</td>\n",
              "      <td>502</td>\n",
              "      <td>526</td>\n",
              "      <td>521</td>\n",
              "      <td>515</td>\n",
              "      <td>571</td>\n",
              "      <td>560</td>\n",
              "      <td>528</td>\n",
              "      <td>516</td>\n",
              "      <td>555</td>\n",
              "      <td>521</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                Seated  Stand  Stand_RightArmRaised  Stand_LeftArmRaised    T  \\\n",
              "Nbr of entries     606    521                   503                  534  503   \n",
              "\n",
              "                MilitarySalute  PushUp_Low  Squat  Plank  Yoga_Tree_left  \\\n",
              "Nbr of entries             524         508    552    535             580   \n",
              "\n",
              "                Yoga_Tree_right  Yoga_UpwardSalute  Yoga_Warrior2_left  \\\n",
              "Nbr of entries              502                526                 521   \n",
              "\n",
              "                Yoga_Warrior2_right  Traffic_AllStop  Traffic_BackStop  \\\n",
              "Nbr of entries                  515              571               560   \n",
              "\n",
              "                Traffic_FrontStop  Traffic_BackFrontStop  Traffic_LeftTurn  \\\n",
              "Nbr of entries                528                    516               555   \n",
              "\n",
              "                Traffic_RightTurn  \n",
              "Nbr of entries                521  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 769
        },
        "id": "T5gf3-JuXcT8",
        "outputId": "69e62456-7333-4a41-c334-a39fc8da4b79"
      },
      "source": [
        "posePartPairs={\n",
        "    \"Torso\":[1, 8], \n",
        "    \"Shoulder (right)\":[1, 2],\n",
        "    \"Shoulder (left)\":[1, 5],\n",
        "    \"Arm (right)\":[2, 3],\n",
        "    \"Forearm (right)\":[3, 4],\n",
        "    \"Arm (left)\":[5, 6],\n",
        "    \"Forearm (left)\":[6, 7],\n",
        "    \"Hip (right)\":[8, 9],\n",
        "    \"Thigh (right)\":[9, 10],\n",
        "    \"Leg (right)\":[10, 11],\n",
        "    \"Hip (left)\":[8, 12],\n",
        "    \"Thigh (left)\":[12, 13],\n",
        "    \"Leg (left)\":[13, 14],\n",
        "    \"Neck\":[1, 0],\n",
        "    \"Eye (right)\":[0, 15],\n",
        "    \"Ear (right)\":[15, 17],\n",
        "    \"Eye (left)\":[0, 16],\n",
        "    \"Ear (left)\":[16, 18],\n",
        "    \"Foot (left)\":[14, 19],\n",
        "    \"Toe (left)\":[19, 20],\n",
        "    \"Heel (left)\":[14, 21],\n",
        "    \"Foot (right)\":[11, 22],\n",
        "    \"Toe (right)\":[22, 23],\n",
        "    \"Heel (right)\":[11, 24],\n",
        "}\n",
        "\n",
        "color_map = plt.cm.get_cmap(\"nipy_spectral\", len(posePartPairs))\n",
        "\n",
        "fig, axs = plt.subplots(4, len(labels_body)//4, figsize=(12,10))\n",
        "for ax, label in zip([item for sublist in axs for item in sublist], labels_body):\n",
        "    samples = dataset_df_body[(dataset_df_body.label==label)].drop(['label', 'accuracy'], axis=1).to_numpy()\n",
        "    sample_mean = samples.mean(axis=0)\n",
        "    sample_rand = samples[np.random.randint(0,samples.shape[0])]\n",
        "    sample_data_2D = np.stack([sample_rand[::2], sample_rand[1::2]]).T\n",
        "    for i,p in enumerate(posePartPairs.values()):\n",
        "        if np.all(sample_data_2D[p]):\n",
        "            ax.plot(*sample_data_2D[p].T, c=color_map(i))\n",
        "    ax.set_aspect(\"equal\")\n",
        "    ax.axis('off')\n",
        "    ax.set_title(label.replace('_', ' '), fontsize=14)\n",
        "\n",
        "handles = [Line2D([0], [0], color=color_map(i), lw=3, ls='-', label=l) for i, l in enumerate(posePartPairs.keys())]\n",
        "fig.legend(handles=handles,\n",
        "           loc='center left', bbox_to_anchor=(0.93, 0.5), prop={'size': 14},\n",
        "           borderaxespad=1)\n",
        "fig.tight_layout()\n",
        "fig.subplots_adjust(right=0.95)\n",
        "\n",
        "display(Markdown(\"### Class visualization\"))"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/markdown": "### Class visualization",
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 20 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V3lsa7aKae-S"
      },
      "source": [
        "## 🤙 Hand dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "T7G07ryFfS3K",
        "outputId": "36cb66ff-183d-43ad-fb4e-71265a6689f2"
      },
      "source": [
        "dataset_df_hand = pd.read_csv(\"https://raw.githubusercontent.com/ArthurFDLR/pose-classification-kit/master/pose_classification_kit/datasets/HandPose_Dataset.csv\")\n",
        "labels_hand = dataset_df_hand.label.unique()\n",
        "\n",
        "display(Markdown(\"### Complete dataset view\"))\n",
        "display(dataset_df_hand)\n",
        "\n",
        "display(Markdown(\"### Number of samples per label\"))\n",
        "df_hand_labels = {hand_i : dataset_df_hand.loc[dataset_df_hand['hand'] == hand_i].groupby('label') for hand_i in ['left', 'right']}\n",
        "display(\n",
        "    pd.DataFrame(\n",
        "        [df.size() for df in df_hand_labels.values()],\n",
        "        columns=labels_hand,\n",
        "        index=df_hand_labels.keys(),\n",
        "        )\n",
        ")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/markdown": "### Complete dataset view",
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>label</th>\n",
              "      <th>hand</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>x0</th>\n",
              "      <th>y0</th>\n",
              "      <th>x1</th>\n",
              "      <th>y1</th>\n",
              "      <th>x2</th>\n",
              "      <th>y2</th>\n",
              "      <th>x3</th>\n",
              "      <th>y3</th>\n",
              "      <th>x4</th>\n",
              "      <th>y4</th>\n",
              "      <th>x5</th>\n",
              "      <th>y5</th>\n",
              "      <th>x6</th>\n",
              "      <th>y6</th>\n",
              "      <th>x7</th>\n",
              "      <th>y7</th>\n",
              "      <th>x8</th>\n",
              "      <th>y8</th>\n",
              "      <th>x9</th>\n",
              "      <th>y9</th>\n",
              "      <th>x10</th>\n",
              "      <th>y10</th>\n",
              "      <th>x11</th>\n",
              "      <th>y11</th>\n",
              "      <th>x12</th>\n",
              "      <th>y12</th>\n",
              "      <th>x13</th>\n",
              "      <th>y13</th>\n",
              "      <th>x14</th>\n",
              "      <th>y14</th>\n",
              "      <th>x15</th>\n",
              "      <th>y15</th>\n",
              "      <th>x16</th>\n",
              "      <th>y16</th>\n",
              "      <th>x17</th>\n",
              "      <th>y17</th>\n",
              "      <th>x18</th>\n",
              "      <th>y18</th>\n",
              "      <th>x19</th>\n",
              "      <th>y19</th>\n",
              "      <th>x20</th>\n",
              "      <th>y20</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>left</td>\n",
              "      <td>15.139381</td>\n",
              "      <td>0.403383</td>\n",
              "      <td>-0.366229</td>\n",
              "      <td>0.194999</td>\n",
              "      <td>-0.361383</td>\n",
              "      <td>-0.013385</td>\n",
              "      <td>-0.264461</td>\n",
              "      <td>-0.149077</td>\n",
              "      <td>-0.162692</td>\n",
              "      <td>-0.216922</td>\n",
              "      <td>-0.060923</td>\n",
              "      <td>0.083538</td>\n",
              "      <td>-0.002769</td>\n",
              "      <td>-0.027923</td>\n",
              "      <td>0.195922</td>\n",
              "      <td>-0.173307</td>\n",
              "      <td>0.094153</td>\n",
              "      <td>-0.207230</td>\n",
              "      <td>0.002077</td>\n",
              "      <td>0.136845</td>\n",
              "      <td>0.036000</td>\n",
              "      <td>-0.042462</td>\n",
              "      <td>0.200768</td>\n",
              "      <td>-0.153923</td>\n",
              "      <td>0.079615</td>\n",
              "      <td>-0.178153</td>\n",
              "      <td>-0.027000</td>\n",
              "      <td>0.199845</td>\n",
              "      <td>0.045692</td>\n",
              "      <td>0.010846</td>\n",
              "      <td>0.195922</td>\n",
              "      <td>-0.095769</td>\n",
              "      <td>0.079615</td>\n",
              "      <td>-0.120000</td>\n",
              "      <td>-0.012462</td>\n",
              "      <td>0.257999</td>\n",
              "      <td>0.040846</td>\n",
              "      <td>0.131999</td>\n",
              "      <td>0.137769</td>\n",
              "      <td>0.015692</td>\n",
              "      <td>0.113538</td>\n",
              "      <td>-0.057000</td>\n",
              "      <td>0.036000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>left</td>\n",
              "      <td>14.065027</td>\n",
              "      <td>0.333266</td>\n",
              "      <td>-0.430984</td>\n",
              "      <td>0.169325</td>\n",
              "      <td>-0.368800</td>\n",
              "      <td>0.016691</td>\n",
              "      <td>-0.255737</td>\n",
              "      <td>-0.152903</td>\n",
              "      <td>-0.142674</td>\n",
              "      <td>-0.226394</td>\n",
              "      <td>-0.040918</td>\n",
              "      <td>0.186284</td>\n",
              "      <td>-0.006999</td>\n",
              "      <td>0.022344</td>\n",
              "      <td>0.106063</td>\n",
              "      <td>-0.113331</td>\n",
              "      <td>0.100410</td>\n",
              "      <td>-0.124638</td>\n",
              "      <td>0.043879</td>\n",
              "      <td>0.231509</td>\n",
              "      <td>0.049532</td>\n",
              "      <td>-0.005922</td>\n",
              "      <td>0.145635</td>\n",
              "      <td>-0.135944</td>\n",
              "      <td>0.094757</td>\n",
              "      <td>-0.203782</td>\n",
              "      <td>0.004307</td>\n",
              "      <td>0.208897</td>\n",
              "      <td>0.038226</td>\n",
              "      <td>0.016691</td>\n",
              "      <td>0.168248</td>\n",
              "      <td>-0.118985</td>\n",
              "      <td>0.111716</td>\n",
              "      <td>-0.147250</td>\n",
              "      <td>0.038226</td>\n",
              "      <td>0.191937</td>\n",
              "      <td>0.004307</td>\n",
              "      <td>0.027997</td>\n",
              "      <td>0.151288</td>\n",
              "      <td>-0.062453</td>\n",
              "      <td>0.128676</td>\n",
              "      <td>-0.113331</td>\n",
              "      <td>0.060838</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11202</th>\n",
              "      <td>Ok</td>\n",
              "      <td>right</td>\n",
              "      <td>16.430834</td>\n",
              "      <td>-0.262744</td>\n",
              "      <td>-0.477646</td>\n",
              "      <td>-0.070791</td>\n",
              "      <td>-0.408216</td>\n",
              "      <td>0.100741</td>\n",
              "      <td>-0.355123</td>\n",
              "      <td>0.215096</td>\n",
              "      <td>-0.314281</td>\n",
              "      <td>0.268190</td>\n",
              "      <td>-0.253020</td>\n",
              "      <td>0.031312</td>\n",
              "      <td>-0.085572</td>\n",
              "      <td>0.190592</td>\n",
              "      <td>-0.048815</td>\n",
              "      <td>0.255937</td>\n",
              "      <td>-0.126413</td>\n",
              "      <td>0.255937</td>\n",
              "      <td>-0.244852</td>\n",
              "      <td>-0.038118</td>\n",
              "      <td>-0.020226</td>\n",
              "      <td>0.059900</td>\n",
              "      <td>0.179895</td>\n",
              "      <td>0.137498</td>\n",
              "      <td>0.306502</td>\n",
              "      <td>0.198760</td>\n",
              "      <td>0.408605</td>\n",
              "      <td>-0.132053</td>\n",
              "      <td>-0.024310</td>\n",
              "      <td>-0.111632</td>\n",
              "      <td>0.179895</td>\n",
              "      <td>-0.066707</td>\n",
              "      <td>0.310586</td>\n",
              "      <td>-0.038118</td>\n",
              "      <td>0.412689</td>\n",
              "      <td>-0.213735</td>\n",
              "      <td>-0.065151</td>\n",
              "      <td>-0.262744</td>\n",
              "      <td>0.106381</td>\n",
              "      <td>-0.262744</td>\n",
              "      <td>0.208484</td>\n",
              "      <td>-0.254576</td>\n",
              "      <td>0.310586</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11203</th>\n",
              "      <td>Ok</td>\n",
              "      <td>right</td>\n",
              "      <td>15.640315</td>\n",
              "      <td>-0.258065</td>\n",
              "      <td>-0.478518</td>\n",
              "      <td>-0.070381</td>\n",
              "      <td>-0.404227</td>\n",
              "      <td>0.105572</td>\n",
              "      <td>-0.353396</td>\n",
              "      <td>0.211144</td>\n",
              "      <td>-0.318205</td>\n",
              "      <td>0.273705</td>\n",
              "      <td>-0.259554</td>\n",
              "      <td>0.043011</td>\n",
              "      <td>-0.071871</td>\n",
              "      <td>0.203324</td>\n",
              "      <td>-0.040590</td>\n",
              "      <td>0.246334</td>\n",
              "      <td>-0.130522</td>\n",
              "      <td>0.265885</td>\n",
              "      <td>-0.251734</td>\n",
              "      <td>-0.039101</td>\n",
              "      <td>-0.013220</td>\n",
              "      <td>0.058651</td>\n",
              "      <td>0.182284</td>\n",
              "      <td>0.140763</td>\n",
              "      <td>0.303496</td>\n",
              "      <td>0.199414</td>\n",
              "      <td>0.409068</td>\n",
              "      <td>-0.132942</td>\n",
              "      <td>-0.021040</td>\n",
              "      <td>-0.113392</td>\n",
              "      <td>0.182284</td>\n",
              "      <td>-0.074291</td>\n",
              "      <td>0.303496</td>\n",
              "      <td>-0.043011</td>\n",
              "      <td>0.409068</td>\n",
              "      <td>-0.226784</td>\n",
              "      <td>-0.067961</td>\n",
              "      <td>-0.261975</td>\n",
              "      <td>0.107992</td>\n",
              "      <td>-0.265885</td>\n",
              "      <td>0.209654</td>\n",
              "      <td>-0.261975</td>\n",
              "      <td>0.303496</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>11204 rows × 45 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      label   hand   accuracy        x0        y0        x1        y1  \\\n",
              "0         0   left  15.139381  0.403383 -0.366229  0.194999 -0.361383   \n",
              "1         0   left  14.065027  0.333266 -0.430984  0.169325 -0.368800   \n",
              "...     ...    ...        ...       ...       ...       ...       ...   \n",
              "11202    Ok  right  16.430834 -0.262744 -0.477646 -0.070791 -0.408216   \n",
              "11203    Ok  right  15.640315 -0.258065 -0.478518 -0.070381 -0.404227   \n",
              "\n",
              "             x2        y2        x3        y3        x4        y4        x5  \\\n",
              "0     -0.013385 -0.264461 -0.149077 -0.162692 -0.216922 -0.060923  0.083538   \n",
              "1      0.016691 -0.255737 -0.152903 -0.142674 -0.226394 -0.040918  0.186284   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "11202  0.100741 -0.355123  0.215096 -0.314281  0.268190 -0.253020  0.031312   \n",
              "11203  0.105572 -0.353396  0.211144 -0.318205  0.273705 -0.259554  0.043011   \n",
              "\n",
              "             y5        x6        y6        x7        y7        x8        y8  \\\n",
              "0     -0.002769 -0.027923  0.195922 -0.173307  0.094153 -0.207230  0.002077   \n",
              "1     -0.006999  0.022344  0.106063 -0.113331  0.100410 -0.124638  0.043879   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "11202 -0.085572  0.190592 -0.048815  0.255937 -0.126413  0.255937 -0.244852   \n",
              "11203 -0.071871  0.203324 -0.040590  0.246334 -0.130522  0.265885 -0.251734   \n",
              "\n",
              "             x9        y9       x10       y10       x11       y11       x12  \\\n",
              "0      0.136845  0.036000 -0.042462  0.200768 -0.153923  0.079615 -0.178153   \n",
              "1      0.231509  0.049532 -0.005922  0.145635 -0.135944  0.094757 -0.203782   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "11202 -0.038118 -0.020226  0.059900  0.179895  0.137498  0.306502  0.198760   \n",
              "11203 -0.039101 -0.013220  0.058651  0.182284  0.140763  0.303496  0.199414   \n",
              "\n",
              "            y12       x13       y13       x14       y14       x15       y15  \\\n",
              "0     -0.027000  0.199845  0.045692  0.010846  0.195922 -0.095769  0.079615   \n",
              "1      0.004307  0.208897  0.038226  0.016691  0.168248 -0.118985  0.111716   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "11202  0.408605 -0.132053 -0.024310 -0.111632  0.179895 -0.066707  0.310586   \n",
              "11203  0.409068 -0.132942 -0.021040 -0.113392  0.182284 -0.074291  0.303496   \n",
              "\n",
              "            x16       y16       x17       y17       x18       y18       x19  \\\n",
              "0     -0.120000 -0.012462  0.257999  0.040846  0.131999  0.137769  0.015692   \n",
              "1     -0.147250  0.038226  0.191937  0.004307  0.027997  0.151288 -0.062453   \n",
              "...         ...       ...       ...       ...       ...       ...       ...   \n",
              "11202 -0.038118  0.412689 -0.213735 -0.065151 -0.262744  0.106381 -0.262744   \n",
              "11203 -0.043011  0.409068 -0.226784 -0.067961 -0.261975  0.107992 -0.265885   \n",
              "\n",
              "            y19       x20       y20  \n",
              "0      0.113538 -0.057000  0.036000  \n",
              "1      0.128676 -0.113331  0.060838  \n",
              "...         ...       ...       ...  \n",
              "11202  0.208484 -0.254576  0.310586  \n",
              "11203  0.209654 -0.261975  0.303496  \n",
              "\n",
              "[11204 rows x 45 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/markdown": "### Number of samples per label",
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>Chef</th>\n",
              "      <th>Help</th>\n",
              "      <th>Super</th>\n",
              "      <th>VIP</th>\n",
              "      <th>Water</th>\n",
              "      <th>Metal</th>\n",
              "      <th>Dislike</th>\n",
              "      <th>Loser</th>\n",
              "      <th>Phone</th>\n",
              "      <th>Shaka</th>\n",
              "      <th>Stop</th>\n",
              "      <th>Vulcan_Salute</th>\n",
              "      <th>Power_Fist</th>\n",
              "      <th>Horns</th>\n",
              "      <th>Fight_Fist</th>\n",
              "      <th>Middle_Finger</th>\n",
              "      <th>Ok</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>left</th>\n",
              "      <td>207</td>\n",
              "      <td>201</td>\n",
              "      <td>213</td>\n",
              "      <td>203</td>\n",
              "      <td>204</td>\n",
              "      <td>206</td>\n",
              "      <td>208</td>\n",
              "      <td>202</td>\n",
              "      <td>241</td>\n",
              "      <td>221</td>\n",
              "      <td>205</td>\n",
              "      <td>235</td>\n",
              "      <td>203</td>\n",
              "      <td>202</td>\n",
              "      <td>207</td>\n",
              "      <td>208</td>\n",
              "      <td>205</td>\n",
              "      <td>206</td>\n",
              "      <td>201</td>\n",
              "      <td>203</td>\n",
              "      <td>202</td>\n",
              "      <td>205</td>\n",
              "      <td>209</td>\n",
              "      <td>204</td>\n",
              "      <td>204</td>\n",
              "      <td>209</td>\n",
              "      <td>205</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>right</th>\n",
              "      <td>208</td>\n",
              "      <td>207</td>\n",
              "      <td>203</td>\n",
              "      <td>205</td>\n",
              "      <td>213</td>\n",
              "      <td>206</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>205</td>\n",
              "      <td>209</td>\n",
              "      <td>206</td>\n",
              "      <td>209</td>\n",
              "      <td>208</td>\n",
              "      <td>221</td>\n",
              "      <td>204</td>\n",
              "      <td>214</td>\n",
              "      <td>206</td>\n",
              "      <td>205</td>\n",
              "      <td>204</td>\n",
              "      <td>208</td>\n",
              "      <td>204</td>\n",
              "      <td>206</td>\n",
              "      <td>211</td>\n",
              "      <td>207</td>\n",
              "      <td>203</td>\n",
              "      <td>201</td>\n",
              "      <td>208</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         0    1    2    3    4    5    6    7    8    9  Chef  Help  Super  \\\n",
              "left   207  201  213  203  204  206  208  202  241  221   205   235    203   \n",
              "right  208  207  203  205  213  206  202  202  205  209   206   209    208   \n",
              "\n",
              "       VIP  Water  Metal  Dislike  Loser  Phone  Shaka  Stop  Vulcan_Salute  \\\n",
              "left   202    207    208      205    206    201    203   202            205   \n",
              "right  221    204    214      206    205    204    208   204            206   \n",
              "\n",
              "       Power_Fist  Horns  Fight_Fist  Middle_Finger   Ok  \n",
              "left          209    204         204            209  205  \n",
              "right         211    207         203            201  208  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 769
        },
        "id": "5sv49ANrfS3K",
        "outputId": "6368def2-6c15-4b73-cf54-f71111bc9b9f"
      },
      "source": [
        "colors = [\"r\", \"y\", \"g\", \"b\", \"m\"]\n",
        "hand_visualization = 'right'\n",
        "\n",
        "fig, axs = plt.subplots(4, len(labels_hand)//4, figsize=(12,10))\n",
        "for ax, label_viz in zip([item for sublist in axs for item in sublist],labels_hand):\n",
        "    sample_data = dataset_df_hand[(dataset_df_hand.label==label_viz) & (dataset_df_hand.hand==hand_visualization)].drop(['label', 'hand', 'accuracy'], axis=1).to_numpy().mean(axis=0)\n",
        "    sample_data_2D = np.stack([sample_data[::2], sample_data[1::2]])\n",
        "\n",
        "    sample_fingers = {\n",
        "        \"Thumb\": sample_data_2D[:, 0:5],\n",
        "        \"Index\": np.insert(sample_data_2D[:, 5:9].T, 0, sample_data_2D[:, 0], axis=0).T,\n",
        "        \"Middle\": np.insert(sample_data_2D[:, 9:13].T, 0, sample_data_2D[:, 0], axis=0).T,\n",
        "        \"Ring\": np.insert(sample_data_2D[:, 13:17].T, 0, sample_data_2D[:, 0], axis=0).T,\n",
        "        \"Little\": np.insert(sample_data_2D[:, 17:21].T, 0, sample_data_2D[:, 0], axis=0).T,\n",
        "    }\n",
        "    for (name, data), c in zip(sample_fingers.items(), colors):\n",
        "        ax.plot(data[0], data[1], color=c)\n",
        "    ax.set_aspect(\"equal\")\n",
        "    ax.set_title(label_viz.replace('_', ' '), fontsize=16)\n",
        "    ax.axis('off')\n",
        "\n",
        "handles = [Line2D([0], [0], color=colors[i], lw=3, ls='-', label=l) for i, l in enumerate(sample_fingers.keys())]\n",
        "fig.legend(handles=handles,\n",
        "           loc='center left', bbox_to_anchor=(0.97, 0.5), prop={'size': 17},\n",
        "           borderaxespad=1)\n",
        "fig.tight_layout()\n",
        "\n",
        "display(Markdown(\"### Class visualization\"))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/markdown": "### Class visualization",
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 24 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GQgbOzI2fS3L"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}